Gnuut

Gnuut — CS2 Stats

TO76561198208449140[U:1:248183412]Steam profile ↗✓ No bans

1,747Tracked matches34%Win rate2020Tracked since
CSDB Rating4.1 DevelopingSupport
FaceitLevel 8 · 1,606 ELOTop 31.2% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Oct 2026 (34 days ago). Ranks are recorded once per day this page is viewed.

+2Tracked matches · now 1,747
−6.9ppWin rate · 41.4% → 34.5%

Rating over time

Premier CS Rating: 18,135 -925 30 Sept – 19 Dec · 7 days played
17,47619,521peak 19,52130 Sept19 Dec
19,630Peak Premier in tracked matches
1,606Highest Faceit ELO seen on CSDB
59Days played since 2025-07-31

Faceit ELO

  • At peak — 1,606
  • Next: Level 9 at 1,751 — 145 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-04
  • Level 7 first seen 2026-09-04

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

Share this profile

CSDB.GGGnuutFACEITLevel 8 · 1,606 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,606csdb.gg/stats

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Performance scores

Aim52
Positioning49
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY41–56–3Last 10041%Win rateWLLLLWWLLW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · +4.7pp headshot accuracy · −20ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 17%
  • Avg reaction 578ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 620ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 631ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1.9 against its own average).

Aim5.2
Utility6.5
Positioning4.9
Opening Duels3.2
Clutch3.6

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Twistzz

Plays most like Twistzz 72% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Reaction time. 583ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim5.2
Positioning4.9
Utility6.5
Mechanics4.3
Opening Duels2.0
Win Impact0.0

Composite 4.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time611ms+4ms
first ⅓ avg 608ms → last ⅓ avg 611ms
Headshot accuracy16.5%+1.1%
first ⅓ avg 15.3% → last ⅓ avg 16.5%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.15Best match rating · 13–8 · inferno, 5 Sept →
42%Best headshot accuracy · 13–6 · nuke, 23 Jun →
438msFastest reaction time · 15–15 · dust2, 27 Jun →
13–1Biggest win · inferno, 19 Dec →

Across the last 100 tracked matches.

Highlights

12Longest win streak
10–8In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 79% over 19anubisWeakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
infernoC2310–1343%-0.01
nukeS1915–479%-0.02
dust2D144–1029%-0.02
overpassC114–736%-0.03
ancientD81–713%-0.03
mirageS75–271%-0.01
anubisD60–60%-0.04
trainD51–420%-0.03
cache—41–325%-0.04
office—20–20%-0.07
vertigo—10–10%-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,186Matches
50%Win rate
0.86Avg K/D
70.2ADR
36%Headshot %

Clutches & streaks

38%1v1 clutch win
16%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno16851%0.8913.3
Nuke14661%0.8713.0
Dust212247%0.9013.0
Anubis10446%1.0315.5
Ancient6141%1.0312.6
Mirage5855%0.8612.5
Overpass4248%0.8314.3
Train4048%0.7311.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.2%Headshot accuracy
32.4%Accuracy (enemy spotted)
32.7%Spray accuracy
69.3%Counter-strafing
10.0°Preaim
583msReaction time
31.6%T opening success
44.7%CT opening success
0.60Enemies flashed / flash
9.7%Flash assists
9.21HE damage / grenade
8.94Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 31.6238% — below the 40% mark we flag

Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–4-0.0422%30 Oct →
office2–13-0.0814%30 Oct →
ancient8–13-0.026%19 Sept →
ancient3–13-0.0822%19 Sept →
inferno12–16-0.0521%12 Sept →
nuke8–20.1131%29 Aug →
inferno13–10-0.0214%15 Aug →
vertigo1–13-0.0113%15 Aug →
inferno10–13-0.0318%14 Aug →
inferno13–10-0.0017%8 Aug →
cache9–13-0.056%8 Aug →
cache3–13-0.0413%8 Aug →
nuke19–17-0.038%3 Aug →
nuke13–110.0125%27 Jul →
cache6–13-0.0325%11 Jul →
anubis3–13-0.034%11 Jul →
dust27–13-0.018%10 Jul →
nuke4–13-0.0222%10 Jul →
overpass4–13-0.088%27 Jun →
dust27–13-0.0611%27 Jun →
nuke13–7-0.018%27 Jun →
dust215–15-0.0133%27 Jun →
nuke13–6-0.0242%23 Jun →
dust213–70.0819%20 Jun →
ancient12–16-0.039%19 Jun →
inferno16–19-0.018%19 Jun →
nuke13–9-0.067%12 Jun →
dust28–13-0.0015%12 Jun →
anubis9–13-0.0530%12 Jun →
inferno10–13-0.0019%9 Jun →
nuke13–10-0.0119%8 Jun →
cache13–11-0.0215%14 May →
mirage13–11-0.0212%13 May →
mirage6–13-0.0422%13 May →
dust29–13-0.0320%8 May →
mirage13–10-0.0211%29 Apr →
inferno9–70.0539%17 Apr →
overpass13–10-0.0120%16 Apr →
anubis6–13-0.0421%5 Apr →
inferno11–130.0316%21 Mar →
inferno19–17-0.0410%21 Mar →
anubis11–13-0.078%20 Mar →
mirage13–70.0617%17 Mar →
mirage19–150.0211%16 Mar →
nuke5–13-0.059%22 Feb →
ancient9–13-0.0122%21 Feb →
inferno10–130.009%21 Feb →
anubis4–13-0.0819%15 Feb →
mirage10–13-0.0412%13 Feb →
inferno11–13-0.0314%21 Jan →
nuke13–70.0021%20 Jan →
inferno14–160.0015%20 Jan →
anubis11–130.026%17 Jan →
overpass8–13-0.045%16 Jan →
mirage13–110.0022%19 Dec →
train5–13-0.0411%19 Dec →
inferno13–10.0914%19 Dec →
inferno13–7-0.024%12 Dec →
inferno10–13-0.0210%6 Dec →
nuke13–110.0225%6 Dec →
ancient4–13-0.0111%6 Dec →
overpass10–13-0.0014%6 Dec →
dust25–13-0.0924%28 Nov →
office4–12-0.067%15 Nov →
train4–13-0.0717%15 Nov →
overpass13–10-0.0119%11 Nov →
train3–13-0.0510%30 Oct →
inferno7–13-0.0420%30 Oct →
dust213–160.0114%26 Oct →
dust215–19-0.0523%26 Oct →
dust24–130.0412%18 Oct →
dust24–13-0.0822%17 Oct →
ancient2–13-0.035%17 Oct →
nuke3–13-0.0713%14 Oct →
inferno13–8-0.0317%14 Oct →
inferno8–13-0.0824%14 Oct →
overpass5–13-0.0124%7 Oct →
inferno11–13-0.0214%3 Oct →
nuke15–15-0.0911%3 Oct →
inferno13–8-0.0214%3 Oct →
inferno13–100.0012%3 Oct →
nuke13–11-0.0223%1 Oct →
nuke13–6-0.0019%30 Sept →
overpass13–3-0.0113%30 Sept →
train13–80.0613%30 Sept →
nuke13–10-0.065%7 Sept →
inferno13–80.1521%5 Sept →
dust213–4-0.0210%4 Sept →
nuke13–90.0123%4 Sept →
overpass13–70.009%4 Sept →
nuke13–4-0.070%30 Aug →
inferno11–13-0.0413%30 Aug →
overpass15–15-0.0416%30 Aug →
ancient13–6-0.038%30 Aug →
overpass7–13-0.039%28 Aug →
dust213–110.0319%28 Aug →
nuke13–10-0.0315%28 Aug →
overpass5–13-0.0823%24 Aug →
train8–13-0.0519%31 Jul →
ancient11–130.0022%31 Jul →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches12-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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